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pro vyhledávání: '"Mazzino A"'
The dimensional transition in turbulent jets of a shear-thinning fluid is studied via direct numerical simulations. Our findings reveal that under vertical confinement, the flow exhibits a unique mixed-dimensional (or 2.5D) state, where large-scale t
Externí odkaz:
http://arxiv.org/abs/2407.01038
Autor:
R. Campos-Caba, J. Alessandri, P. Camus, A. Mazzino, F. Ferrari, I. Federico, M. Vousdoukas, M. Tondello, L. Mentaschi
Publikováno v:
Ocean Science, Vol 20, Pp 1513-1526 (2024)
A well-validated storm surge numerical model is crucial, offering precise coastal hazard information and serving as a basis for extensive databases and advanced data-driven algorithms. However, selecting the best model setup based solely on common er
Externí odkaz:
https://doaj.org/article/a78e6ead04084e90b7957a398031902b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract Scientific inquiry has long relied on deterministic algorithms for systematic problem-solving and predictability. However, the rise of artificial intelligence (AI) has revolutionized data analysis, allowing us to uncover complex patterns in
Externí odkaz:
https://doaj.org/article/bd9d2402dd844135a6ec467bd083900a
We study the statistics of free-surface turbulence at large Reynolds numbers produced by direct numerical simulations in a fluid layer at different thickness with fixed characteristic forcing scale. We observe the production of a transient inverse ca
Externí odkaz:
http://arxiv.org/abs/2212.04627
Autor:
Lagomarsino-Oneto, Daniele, Meanti, Giacomo, Pagliana, Nicolò, Verri, Alessandro, Mazzino, Andrea, Rosasco, Lorenzo, Seminara, Agnese
The ability to predict wind is crucial for both energy production and weather forecasting. Mechanistic models that form the basis of traditional forecasting perform poorly near the ground. In this paper, we take an alternative data-driven approach ba
Externí odkaz:
http://arxiv.org/abs/2204.00495
Publikováno v:
In European Journal of Mechanics / B Fluids November-December 2024 108:104-118
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Traditional fully-deterministic algorithms, which rely on physical equations and mathematical models, are the backbone of many scientific disciplines for decades. These algorithms are based on well-established principles and laws of physics,
Externí odkaz:
https://doaj.org/article/1d6678882a9e4eb78bc7abe098e535bc
The CAMS air quality multi-model forecasts have been assessed and calibrated for PM10, PM2.5, O3, NO2, and CO against observations collected by the Regional Monitoring Network of the Liguria region (northwestern Italy) in the years 2019 and 2020. The
Externí odkaz:
http://arxiv.org/abs/2201.13355
Autor:
Casciaro, Gabriele, Ferrari, Francesco, Oneto, Daniele Lagomarsino, Lira-Loarca, Andrea, Mazzino, Andrea
All numerical weather prediction models used for the wind industry need to produce their forecasts starting from the main synoptic hours 00, 06, 12, and 18 UTC, once the analysis becomes available. The six-hour latency time between two consecutive mo
Externí odkaz:
http://arxiv.org/abs/2201.12234
The spreading of the virus-containing droplets exhaled during respiratory events, e.g., cough, is an issue of paramount importance for the prevention of many infections such as COVID-19. According to the scientific literature, remarkable differences
Externí odkaz:
http://arxiv.org/abs/2201.04556